{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T06:25:17Z","timestamp":1770272717280,"version":"3.49.0"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030466428","type":"print"},{"value":"9783030466435","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-46643-5_31","type":"book-chapter","created":{"date-parts":[[2020,5,18]],"date-time":"2020-05-18T23:24:36Z","timestamp":1589844276000},"page":"316-323","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Multimodal Brain Tumor Segmentation with Normal Appearance Autoencoder"],"prefix":"10.1007","author":[{"given":"Mehdi","family":"Astaraki","sequence":"first","affiliation":[]},{"given":"Chunliang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Gabriel","family":"Carrizo","sequence":"additional","affiliation":[]},{"given":"Iuliana","family":"Toma-Dasu","sequence":"additional","affiliation":[]},{"given":"\u00d6rjan","family":"Smedby","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,5,19]]},"reference":[{"key":"31_CR1","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/J.MEDIA.2016.05.004","volume":"35","author":"M Havaei","year":"2017","unstructured":"Havaei, M., et al.: Brain tumor segmentation with deep neural networks. Med. Image Anal. 35, 18\u201331 (2017). https:\/\/doi.org\/10.1016\/J.MEDIA.2016.05.004","journal-title":"Med. Image Anal."},{"key":"31_CR2","doi-asserted-by":"publisher","first-page":"4009","DOI":"10.1073\/pnas.1219747110","volume":"110","author":"A Sottoriva","year":"2013","unstructured":"Sottoriva, A., et al.: Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics. Proc. Natl. Acad. Sci. U.S.A. 110, 4009\u20134014 (2013). https:\/\/doi.org\/10.1073\/pnas.1219747110","journal-title":"Proc. Natl. Acad. Sci. U.S.A."},{"key":"31_CR3","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/J.MEDIA.2017.10.002","volume":"43","author":"X Zhao","year":"2018","unstructured":"Zhao, X., Wu, Y., Song, G., Li, Z., Zhang, Y., Fan, Y.: A deep learning model integrating FCNNs and CRFs for brain tumor segmentation. Med. Image Anal. 43, 98\u2013111 (2018). https:\/\/doi.org\/10.1016\/J.MEDIA.2017.10.002","journal-title":"Med. Image Anal."},{"key":"31_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/978-3-642-15745-5_19","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2010","author":"BH Menze","year":"2010","unstructured":"Menze, B.H., van Leemput, K., Lashkari, D., Weber, M.-A., Ayache, N., Golland, P.: A generative model for brain tumor segmentation in multi-modal images. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6362, pp. 151\u2013159. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-15745-5_19"},{"key":"31_CR5","doi-asserted-by":"crossref","unstructured":"Li, H., Fan, Y.: Label propagation with robust initialization for brain tumor segmentation. In: 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1715\u20131718. IEEE (2012)","DOI":"10.1109\/ISBI.2012.6235910"},{"key":"31_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-030-11726-9_21","volume-title":"Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries","author":"F Isensee","year":"2019","unstructured":"Isensee, F., Kickingereder, P., Wick, W., Bendszus, M., Maier-Hein, K.H.: No new-net. In: Crimi, A., Bakas, S., Kuijf, H., Keyvan, F., Reyes, M., van Walsum, T. (eds.) BrainLes 2018. LNCS, vol. 11384, pp. 234\u2013244. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-11726-9_21"},{"key":"31_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1007\/978-3-030-11726-9_28","volume-title":"Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries","author":"A Myronenko","year":"2019","unstructured":"Myronenko, A.: 3D MRI brain tumor segmentation using autoencoder regularization. In: Crimi, A., Bakas, S., Kuijf, H., Keyvan, F., Reyes, M., van Walsum, T. (eds.) BrainLes 2018. LNCS, vol. 11384, pp. 311\u2013320. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-11726-9_28"},{"key":"31_CR8","unstructured":"Wang, C., Smedby, \u00d6.: Automatic brain tumor segmentation using 2.5D U-Nets. In: MICCAI Workshop on Multimodal Brain Tumor Segmentation (BRATS) Challenge, Qu\u00e9bec, pp. 292\u2013296 (2017)"},{"key":"31_CR9","unstructured":"Kingma, D.P., Welling, M.: Auto-encoding variational Bayes (2013)"},{"key":"31_CR10","doi-asserted-by":"publisher","first-page":"1993","DOI":"10.1109\/tmi.2014.2377694","volume":"34","author":"BH Menze","year":"2015","unstructured":"Menze, B.H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., et al.: The multimodal brain tumor image segmentation benchmark (BRATS). IEEE Trans. Med. Imaging 34, 1993\u20132024 (2015). https:\/\/doi.org\/10.1109\/tmi.2014.2377694","journal-title":"IEEE Trans. Med. Imaging"},{"key":"31_CR11","doi-asserted-by":"publisher","unstructured":"Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., et al.: Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features. Sci. Data. 4 (2017). https:\/\/doi.org\/10.1038\/sdata.2017.117. Article no. 170117","DOI":"10.1038\/sdata.2017.117"},{"key":"31_CR12","unstructured":"Bakas, S., Reyes, M., Jakab, A., Bauer, S., Rempfler, M., et al.: Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. (2018)"},{"key":"31_CR13","doi-asserted-by":"publisher","unstructured":"Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., et al.: Segmentation labels and radiomic features for the pre-operative scans of the TCGA-GBM collection. Cancer Imaging Arch. (2017). https:\/\/doi.org\/10.7937\/k9\/tcia.2017.klxwjj1q","DOI":"10.7937\/k9\/tcia.2017.klxwjj1q"},{"key":"31_CR14","doi-asserted-by":"publisher","unstructured":"Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., et al.: Segmentation labels and radiomic features for the pre-operative scans of the TCGA-LGG collection. Cancer Imaging Arch. (2017). https:\/\/doi.org\/10.7937\/k9\/tcia.2017.gjq7r0ef","DOI":"10.7937\/k9\/tcia.2017.gjq7r0ef"},{"key":"31_CR15","doi-asserted-by":"publisher","first-page":"1310","DOI":"10.1109\/tmi.2010.2046908","volume":"29","author":"NJ Tustison","year":"2010","unstructured":"Tustison, N.J., et al.: N4ITK: improved N3 bias correction. IEEE Trans. Med. Imaging 29, 1310\u20131320 (2010). https:\/\/doi.org\/10.1109\/tmi.2010.2046908","journal-title":"IEEE Trans. Med. Imaging"},{"key":"31_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/978-3-030-11723-8_16","volume-title":"Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries","author":"C Baur","year":"2019","unstructured":"Baur, C., Wiestler, B., Albarqouni, S., Navab, N.: Deep autoencoding models for unsupervised anomaly segmentation in brain MR images. In: Crimi, A., Bakas, S., Kuijf, H., Keyvan, F., Reyes, M., van Walsum, T. (eds.) BrainLes 2018. LNCS, vol. 11383, pp. 161\u2013169. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-11723-8_16"},{"key":"31_CR17","doi-asserted-by":"crossref","unstructured":"P\u00e9rez, P., Gangnet, M., Blake, A., P\u00e9rez, P., Gangnet, M., Blake, A.: Poisson image editing. In: ACM SIGGRAPH 2003 Papers on - SIGGRAPH 2003, p. 313. ACM Press, New York (2003)","DOI":"10.1145\/1201775.882269"},{"key":"31_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1007\/978-3-030-32226-7_28","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2019","author":"M Astaraki","year":"2019","unstructured":"Astaraki, M., Toma-Dasu, I., Smedby, \u00d6., Wang, C.: Normal appearance autoencoder for lung cancer detection and segmentation. In: Shen, D., et al. (eds.) MICCAI 2019. LNCS, vol. 11769, pp. 249\u2013256. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-32226-7_28"},{"key":"31_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"31_CR20","unstructured":"Chen, X., Konukoglu, E.: Unsupervised detection of lesions in brain MRI using constrained adversarial auto-encoders (2018)"}],"container-title":["Lecture Notes in Computer Science","Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-46643-5_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,18]],"date-time":"2025-05-18T22:03:25Z","timestamp":1747605805000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-46643-5_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030466428","9783030466435"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-46643-5_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"19 May 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BrainLes","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International MICCAI Brainlesion Workshop","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwb2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.brainlesion-workshop.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}